996 research outputs found
A Best Cost-Sharing Rule for Selfish Bin Packing
In selfish bin packing, each item is regarded as a player, who aims to
minimize the cost-share by choosing a bin it can fit in. To have a least number
of bins used, cost-sharing rules play an important role. The currently best
known cost sharing rule has a lower bound on larger than 1.45, while a
general lower bound 4/3 on applies to any cost-sharing rule under which
no items have incentive unilaterally moving to an empty bin. In this paper, we
propose a novel and simple rule with a matching the lower bound, thus
completely resolving this game. The new rule always admits a Nash equilibrium
and its is one. Furthermore, the well-known bin packing algorithm
(Best-Fit Decreasing) is shown to achieve a strong equilibrium, implying that a
stable packing with an asymptotic approximation ratio of can be produced
in polynomial time
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